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Title: Study and development of smart sensor using microprocessor and microcontroller
Researcher: Sarma, Utpal
Guide(s): Boruah, P K
Keywords: Calibration
University: Gauhati University
Completed Date: 31/12/2009
Abstract: The trend towards replacing dumb sensors with smart ones has been gathering momentum from last two decades. Smart sensors have a number of advantages compared to their dumb counterparts. Ease of installation and operation, field upgradeability, standalone feature, digital communication interface are few of them. Institute of Electrical and Electronics Engineers, Inc. (IEEE) and National Institute of Standards and Technology (NIST) in 1993 initiated the standardisation for smart sensor. This process generates IEEE Std. 1451.1TM -1999, IEEE Std. 1451.2TM -1997, IEEE Std. 1451.3TM - 2003, IEEE Std. 1451.4TM -2004, IEEE Std. 1451.10TM -2007, IEEE Std. 1451.5TM -2007. At present IEEE P1451.6 and IEEE P1451.7 are the proposed standards of smart sensor. The basic motive behind these standards is to build a common platform for sensor network, transducer interface module, transducer electronic data sheets etc. In the present work the design, fabrication, calibration, and performance of such smart sensor system with their functionalities are discussed. Results based on field trial of this system in a tea factory are also discussed. Initially a smart industrial temperature monitoring and data logging system using INTEL 8086 microprocessor is designed, the detail of which is explained in Chapter 2. Here, a K-type thermocouple is considered as the sensor. It incorporates automatic reference junction compensation, signal conditioning, 12-bit A/D conversion and data transmission via RS232C interface. At the user end, PC software handles data monitoring and recording. Calibration of the system using a mercury thermometer and an oil bath is described. The stability of the reference junction compensation is also tested. Certain improvements are found to be necessary in this system, so the system is modified adding some more features. As the TC response is not linear it is linearised using least square polynomial fitting method. The improvements in error are discussed in Chapter 3. This is implemented in design and development of a
Appears in Departments:Department of Instrumentation and USIC

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01_title page.pdfAttached File19.25 kBAdobe PDFView/Open
02_dedicated.pdf3.52 kBAdobe PDFView/Open
03_foreword.pdf38.03 kBAdobe PDFView/Open
04_certificate.pdf39.8 kBAdobe PDFView/Open
05_declaration.pdf12.1 kBAdobe PDFView/Open
06_abstract.pdf89.22 kBAdobe PDFView/Open
07_acknowledgement.pdf39.74 kBAdobe PDFView/Open
08_acronyms.pdf47.42 kBAdobe PDFView/Open
09_content.pdf98.83 kBAdobe PDFView/Open
10_list of figures.pdf78.11 kBAdobe PDFView/Open
11_list of tables.pdf18.11 kBAdobe PDFView/Open
12_chapter 1.pdf1.44 MBAdobe PDFView/Open
13_chapter 2.pdf271.38 kBAdobe PDFView/Open
14_chapter 3.pdf869.04 kBAdobe PDFView/Open
15_chapter 4.pdf706.76 kBAdobe PDFView/Open
16_chapter 5.pdf731.95 kBAdobe PDFView/Open
17_conclusion and future work.pdf181.4 kBAdobe PDFView/Open
18_appendix a.pdf1.26 MBAdobe PDFView/Open

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